【摘要】 本文提出了一种面向特定领域的汉语句法主干分析方法。该方法中包括浅层句法分析、模板匹配两个关键环节 ,形成用模板表示的句法主干。在浅层句法分析中 ,本文使用了级联的隐马尔可夫模型进行了短语的归并 ;而后以已有的汉语句子模板为基础 ,进行模板匹配以达到句法主干分析的目标。在针对体育新闻领域语料的开放测试中 ,模板匹配的精确率和召回率分别达到了 98 0 4 %和 81 4 3% ,句子级的精确率和召回率分别达到了 96 97%、84 85 % ,实验表明该方法在特定领域是有效的更多还原

【Abstract】 A method of skeleton parsing for domain specific Chinese text is put forward in this paper. The method includes two key steps: shallow parsing and template matching. The template is adopted to represent the sentence skeleton. We use shallow parsing, cascade hidden Markov Model, to combine phrases. The skeleton parsing is achieved through template matching from the tree of shallow parsing. An experiment on sports news shows the performance of the proposed method achieves 98 04% precision and 81 43% recall for template matching and 96 97% precision and 84 85% recall at sentence level.更多还原